• The K-Means clustering data mining algorithms and decision trees are used to perform the categorization and determine common indicators among patients. (scirp.org)
  • Experimental results show how our approach allows to easily evaluate the obtained communities on the ground truth and to characterize the quality of community detection algorithms. (cnr.it)
  • The results that are generated by implementing these algorithms are subsequently imported into Mass Profiler (MP) or Mass Profiler Pro (MPP) data analysis software (Agilent Technologies, Santa, Clara, California) for data filtering, statistical analysis, and visualization of results. (spectroscopyonline.com)
  • Many existing data mining algorithms (supervised and unsupervised) become futile because of the ubiquitous use of horizontal processing i.e. row-by-row processing of stored data. (easychair.org)
  • In order to refine or process this data and to find out and unmask the insights, many techniques and algorithms have been evolved, one of which is the data mining. (joiv.org)
  • The models were created based on seven data mining algorithms, and finally, the performances of the models were compared with each other. (ac.ir)
  • Existing algorithms can be used to extract information from these large volumes of data. (ijarcs.info)
  • But its foundation comprises three intertwined scientific disciplines: statistics (the numeric study of data relationships), artificial intelligence (human-like intelligence displayed by software and/or machines) and machine learning (algorithms that can learn from data to make predictions). (sas.com)
  • Data mining software from SAS uses proven, cutting-edge algorithms designed to help you solve the biggest challenges. (sas.com)
  • For VL, spatial data mining models were developed by integrating Machine Learning algorithms into a GIS-based modeling approach. (lu.se)
  • Article: An integrative approach for codon repeats evolutionary analyses Journal: International Journal of Data Mining and Bioinformatics (IJDMB) 2012 Vol.6 No.4 pp.369 - 381 Abstract: The relationship between genome characteristics and several human diseases has been a central research goal in genomics. (inderscience.com)
  • Abstract - Decision tree is a well known approach for classification in data mining. (myprojectbazaar.com)
  • abstract = "Association rule mining is one of the most well known techniques to discover interesting relations between items in data. (ucl.ac.uk)
  • Abstract: Talk 1: A Visual Analytics Approach to Exploring Protein Flexibility Subspaces Authors: Scott Barlowe, Jing Yang, Donald J. Jacobs, Dennis R. Livesay, Jamal Alsakran, Ye Zhao, Deeptak Verma, and James Mottonen Understanding what causes proteins to change shape and how the resulting shape influences function will expedite the design of more narrowly focused drugs and therapies. (charlotte.edu)
  • A summary of USBM/NIOSH respirable dust control research for coal mining. (cdc.gov)
  • An overview of USBM/NIOSH technology to reduce silica dust in metal/nonmetal mines and mills. (cdc.gov)
  • Evaluation of Kiruna mine drifting data using the NIOSH design approach. (cdc.gov)
  • An article describing a NIOSH experiment that showed that the heat release rate of a mine fire can be calculated with reasonable accuracy using atmospheric monitoring systems sensor data. (cdc.gov)
  • This paper discusses large-scale experiments conducted by NIOSH to evaluate the effectiveness of optical flame detectors, photoelectric smoke detectors, and combined ionization/photoelectric smoke detectors for detecting mining equipment cab fires. (cdc.gov)
  • In an effort to determine the effectiveness of multiple types of fire sensors for early and reliable mine fire detection, NIOSH has evaluated multiple sensors for early mine fire detection and nuisance signal discrimination. (cdc.gov)
  • Objective: The National Institute for Occupational Safety and Health (NIOSH), in partnership with stakeholders in the mining and surface drilling industries, conducted research to develop engineering control technologies that reduce workplace noise exposure. (cdc.gov)
  • Various supervised and unsupervised data mining methods for analyzing the produced high- dimensional data are discussed. (lu.se)
  • The C4.5, CART and the proposed classifier are trained using data set containing soil samples by considering optimal soil parameters namely pH (power of Hydrogen), Ec (Electrical Conductivity) and ESP (Exchangeable Sodium Percentage). (myprojectbazaar.com)
  • The classifiers are compared for robustness from which decision-makers select an appropriate classifier given a specific lubricant data set. (ac.ke)
  • In the existing approach SVM classifier is applied for the prediction analysis. (joiv.org)
  • To increase accuracy approach of KNN classifier is applied for the prediction analysis. (joiv.org)
  • A molecular feature extraction (MFE) algorithm is used to find metabolite peaks in complex data sets with no prior knowledge of the compounds present in the sample. (spectroscopyonline.com)
  • A find-by-formula (FbF) data extraction algorithm is used to find known metabolite peaks in LC-quadrupole time-of-flight (Q-TOF) data using the empirical formula in a compound database to direct the extraction. (spectroscopyonline.com)
  • In this sense, our aim is to propose a new evolutionary algorithm based on grammars to obtain rare association rules on Big Data. (ucl.ac.uk)
  • Big data clustering using genetic algorithm on hadoop mapreduce. (ijarcs.info)
  • A technology contract to develop an automated rockfall recognition algorithm and empirical approaches for rockfall forecasting and slope hazard recognition based on rockfall frequency and location. (cdc.gov)
  • Data mining is one of the new fields which can extract useful information and patterns using statistical data. (scirp.org)
  • The main goal of the research is to generate clear and understandable pattern description in order to extract data knowledge and information stored in the dataset. (amrita.edu)
  • Many studies on lung diseases, particularly tuberculosis were conducted using data mining techniques. (scirp.org)
  • Classification techniques in data mining are capable of processing a large amount of data. (myprojectbazaar.com)
  • For example, AES (advanced encryption standard) and Triple-DES (data encryption standard) symmetric ciphers often use cipher -block chaining techniques to strengthen overall security by feeding the output of encrypting one block of data into the next encryption operation, etc., making cryptanalysis more difficult. (technewsworld.com)
  • Unsupervised dialogue act classification techniques have broad application in educational data mining in areas such as collaborative learning, online message boards, classroom discourse, and intelligent tutoring systems. (educationaldatamining.org)
  • Suitable for a variety of classes-including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods-the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. (ucpress.edu)
  • Data mining techniques play a major role in healthcare centers to solve large volume of datasets. (amrita.edu)
  • This paper describes a solution for early detection of diabetes by applying various data mining techniques to generate informative structures to train on specific data. (amrita.edu)
  • In this study, we aimed to make a prediction model for the prognosis of COVID-19 patients using data mining techniques. (ac.ir)
  • Dina Fawzy1, Sherin Moussa and Nagwa Badr , "The Evolution of Data Mining Techniques to Big Data Analytics: An Extensive Study with Application to Renewable Energy Data Analytics",(2016) Asian Journal of Applied Sciences (ISSN: 2321 - 089) Volume 04 - Issue 03. (ijarcs.info)
  • Learn more about data mining techniques in Data Mining From A to Z , a paper that shows how organizations can use predictive analytics and data mining to reveal new insights from data. (sas.com)
  • This paper explores practical approaches, workflows and techniques used. (sas.com)
  • Companies have used data mining techniques to price products more effectively across business lines and find new ways to offer competitive products to their existing customer base. (sas.com)
  • This is followed by modules with a focus on optimisation of data processing, machine learning and simulation techniques for applications in both GIS and remote sensing. (lu.se)
  • Metabolomics workflows typically include several steps: sample preparation, chromatographic separation, mass spectrometry detection of ions, data file analysis, compound finding, multiple data file alignment, statistical analyses of the different conditions (variables), and compound identification. (spectroscopyonline.com)
  • The overarching aim of the course is to introduce the student to new paradigms in data management with special focus on artificial intelligence (AI) and machine learning (ML) and their application in GIS and remote sensing. (lu.se)
  • explain differences between knowledge-based and data-driven methods for spatial analysis · account for how technologies based on artificial intelligence and machine learning methods can be relevant for applications in GIS and remote sensing. (lu.se)
  • critically carry out a literature study reviewing the field of spatial artificial intelligence · demonstrate a critical and judicious attitude to advanced methods for handling of spatial data in different processes and applications · evaluate advantages and disadvantages with different AI and ML-methods and be able to relate these to one another at a conceptual level. (lu.se)
  • Dileep Kumar G., Manoj Kumar Singh," Effective Big Data Management and Opportunities for Implementation" IGI Global(2016) ,ISBN: 9781522501824. (ijarcs.info)
  • Industrial Management & Data Systems (2016), 116(4) 646-666. (ijarcs.info)
  • independently use AI for so-called 'spatial data mining and knowledge discovery', and thereby process large amounts of spatial data and explore and develop knowledge · apply AI in spatial simulation and modelling · apply AI and ML for classification of remote sensing data in the form of satellite images in relevant application fields as e.g. land use mapping. (lu.se)
  • This is proposed to be achieved by an interdisciplinary approach combining bioinformatics data mining, transcriptomic analyses and functional assays using novel in-house developed cell lines and network construction/simulation. (iitk.ac.in)
  • By offering empowerment and control, companies convince consumers to sequence their genome by granting the company access to their genetic data in exchange to results that are not always accurate. (bvsalud.org)
  • Secondly, I reflect upon the privacy risks of taking direct-to-consumer genetic testing in a data-rich world. (bvsalud.org)
  • Lille, EA 4074 - CECILLE - Centre d'Études en Civilisations Langues et Lettres Etrangères, F-59000 Lille, France. (episciences.org)
  • Practical implications - The proposed framework will potentially assist maintenance managers in accurately exploiting lubricant data for maintenance DSS, while offering insights with reduced time and errors. (ac.ke)
  • Access unique insights into mining alternative finance, with analysis of key trends. (mining-journal.com)
  • Knowledge Discovery in the Social Sciences provides an accessible, timely introduction to methods old and new for social scientists and others to find insights in such data. (ucpress.edu)
  • The more complex the data sets collected, the more potential there is to uncover relevant insights. (sas.com)
  • Enhancing accuracy, reducing costs and human resources have been proven by Khajavi and Jayalakshy [3] [4] as the benefits of data mining in medical analysis. (scirp.org)
  • After a preliminary conclusion is reached from this untargeted, or 'discovery,' data analysis approach, a targeted analysis is typically performed on the significant entities (putative compounds) using a triple-quadrupole LC-MS-MS system (Agilent 6460) in multiple reaction monitoring (MRM) mode. (spectroscopyonline.com)
  • Design/methodology/approach - The DSS embeds a framework integrating cluster and principal component analysis, for feature extraction, and eight classifiers among them extreme gradient boosting (XGB), random forest (RF), decision trees (DT) and logistic regression (LR). (ac.ke)
  • A negative implication of this approach is that obtaining a sufficiently large text sample for analysis may require exposing too much plaintext for too long a period. (technewsworld.com)
  • Conversely, decrypting too little data may fail to reveal the proper context of the information and lead to flawed analysis. (technewsworld.com)
  • Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis! (smartdatacollective.com)
  • Opinion mining, semantic analysis, sentiments scoring. (ijariie.com)
  • Modern data mining tools in descriptive sensory analysis: a case study with a Random Forest approach. (fbk.eu)
  • As a case study we apply RF to the predictive discrimination of six typical cheeses of the Trentino province (North Italy) from data obtained by quantitative descriptive analysis. (fbk.eu)
  • Over the last decade, advances in processing power and speed have enabled us to move beyond manual, tedious and time-consuming practices to quick, easy and automated data analysis. (sas.com)
  • Typically when data are presented, the fluor- escent intensity from the tissue is pseudo-colored red and the intensity from the reference green, and the logarithmic ratio of background corrected red and green intensities for each gene (spot) is subject to analysis (see Fig. 1 ). (lu.se)
  • This thesis deals with the development and application of new estimation approaches based on factor analysis for estimation and inference in dynamic panel data models with fixed-effects. (lu.se)
  • There is a strong relation between high-dimensional data and functional data. (lu.se)
  • One can convert the densely observed high-dimensional data to functional data by defining a set of functional bases, then set up the coefficients to define the functional data as a linear combination of these bases. (lu.se)
  • As a consequence, several standard bases such as Fourier and related bases, wavelets, splines etc. are typically used to transform observed functional data. (lu.se)
  • Since the method is algorithmic and searches the data to find an effective representation of the basis by minimizing overall mean square error across functional samples, the functional basis is strictly tied to the functional character of the data and loses arbitrariness of common approaches. (lu.se)
  • The method itself uses B-splines and O-splines in the machine learning style of functional data mining to find efficiently placed knots. (lu.se)
  • Our main goal was to develop a visual analytics tool to explore the spatio-temporal chemical readings and wind data. (uic.edu)
  • Data mining is a cornerstone of analytics , helping you develop the models that can uncover connections within millions or billions of records. (sas.com)
  • Explore how data mining - as well as predictive modeling and real-time analytics - are used in oil and gas operations. (sas.com)
  • Data mining is at the heart of analytics efforts across a variety of industries and disciplines. (sas.com)
  • Here, we present a series of novel visual analytics approaches toward ad- dressing this task. (charlotte.edu)
  • A visual analytics approach has been recently developed to help analysts identify potential risk factors for birth defects from hundreds of numerical air pollutant variables and categorical variables depicting the profiles of the parents. (charlotte.edu)
  • Chong will introduce the project, present the visual analytics approach, and discuss open issues in this project. (charlotte.edu)
  • Zhan, Y , Tan, KH & Huo, B 2019, ' Bridging customer knowledge to innovative product development: a data mining approach ', International Journal of Production Research . (birmingham.ac.uk)
  • This Special Issue features a selection of papers addressing the challenges of collecting, preserving, and disseminating endangered knowledge and cultural heritage by presenting some of the latest research based on new computational approaches. (episciences.org)
  • This book introduces students to an alternative research approach that is becoming more and more important for social sciences. (ucpress.edu)
  • Our research is to make simple approach to detect the IHD risk and aware the population to get themselves evaluated by a cardiologist to avoid sudden deaths. (mraihan.me)
  • Extracting the science: a century of mining research. (cdc.gov)
  • Discusses implementation of a real-time neural network which can discriminate mine fires from nuisance diesel emissions as part of an atmospheric mine monitoring system in NIOSH's Safety Research Coal Mine. (cdc.gov)
  • ConclusionData mining methods have the potential to be used for predicting outcomes of COVID-19 patients with the use of lab tests and demographic features. (ac.ir)
  • The data was mined with data mining technology and a score is generated. (mraihan.me)
  • What was old is new again, as data mining technology keeps evolving to keep pace with the limitless potential of big data and affordable computing power. (sas.com)
  • Telecom, media and technology companies can use analytic models to make sense of mountains of customers data, helping them predict customer behavior and offer highly targeted and relevant campaigns. (sas.com)
  • In hardrock mines, seismic monitoring - the same technology used to monitor earthquakes, has proven invaluable for understanding and managing rockburst-related hazards. (cdc.gov)
  • However, there has been recent recognition that data-mining (indirect) approaches can produce such data. (medscape.com)
  • One of the fields that we can use this knowledge effectively and achieve remarkable results is medical data. (scirp.org)
  • The DSS reveals embedded patterns in the data (knowledge discovery) and automatically quantifies the influence of lubricant parameters on the unhealthy state of the machine using alternative classifiers. (ac.ke)
  • Findings - The results show the importance of embedded knowledge, explored via a knowledge discovery approach. (ac.ke)
  • Acquisition of triples of knowledge from lecture notes: A natural language processing approach. (educationaldatamining.org)
  • The data mining is the approach or procedure which helps in detaching or extracting profitable and fruitful knowledge, reports and facts from the rough or impure data. (joiv.org)
  • The collaborative approach consists in giving up the idea of perfect and complete knowledge and publishing partial knowledge of variable quality, which will be improved incrementally when the information system is used--an ongoing and continuously improving process. (episciences.org)
  • Sometimes referred to as 'knowledge discovery in databases,' the term 'data mining' wasn't coined until the 1990s. (sas.com)
  • As often happens, I usually do many thing in the same time, so during a break while I was working for a new post on applications of mutual information in data mining, I read the interesting paper suggested by Sandro Saitta on his blog ( dataminingblog ) related to the outlier detection. (smartdatacollective.com)
  • By means of our approach, an extension of the predefined set of patterns supported by WebML can be realized. (witpress.com)
  • Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. (sas.com)
  • If such interaction patterns can be measured for various kinds of tissues and the corresponding data can be interpreted, potential clinical benefits are obvious and novel tools for diagnostics, identification of candidate drug targets, and predictions of drug effectiveness for e.g. cancer diseases will emerge. (lu.se)
  • Hence, agent based modeling approaches were applied to simulate various socio-ecological processes associated with spatial patterns of disease incidences. (lu.se)
  • Effective data reduction and prioritization strategies are critical to generate meaningful metabolomics data and an accurate understanding of the metabolic state of a biological system. (spectroscopyonline.com)
  • If interpreted by means of visual inspection, the conclusions depend for many of these applications on meaningful names for the input data. (degruyter.com)
  • Coal mines tend to produce many more seismic events than hardrock mines, which makes it difficult to process the data quickly enough to be meaningful. (cdc.gov)
  • The experimental study includes more than 70 datasets revealing alluring results in efficiency when more than 300 million of instances and file sizes up to 250 GBytes are considered, and proving that it is able to run efficiently in huge volumes of data. (ucl.ac.uk)
  • From: ICDMW'06 Sixth IEEE International Conference on Data Mining - Workshops, 18-22 December 2006, Hong Kong. (edu.au)
  • When data is structured, encryption can be efficiently applied in various dimensions. (technewsworld.com)
  • Therefore, what remains is to develop both text mining strategies and protocols that efficiently engage streams of encrypted text for data mining without violating security policy. (technewsworld.com)
  • A successful metabolomics study requires a workflow strategy that can unravel the complexity of the data and reveal the real changes that occur in the system. (spectroscopyonline.com)
  • Existing rudimentary approaches to accessing encrypted data include separating the decipherment and mining operations into sequential stages. (technewsworld.com)
  • Evaluation against manually labeled dialogue acts on a tutorial dialogue corpus in the domain of introductory computer science demonstrates that the proposed technique outperforms existing approaches to education-centered unsupervised dialogue act classification. (educationaldatamining.org)
  • The clinical data from 787 patients has been analyzed and correlated with the risk factors like Hypertension, Diabetes, Dyslipidemia (Abnormal cholesterol), Smoking, Family History, Obesity, Stress and existing clinical symptom which may suggest underlying non detected IHD. (mraihan.me)
  • Originality/value - Advances in lubricant-based intelligent approach for fault diagnosis is seldom utilized in practice, however, may be incorporated in the information management systems offering high predictive accuracy. (ac.ke)
  • Historical development of technologies for control ling methane in underground coal mines. (cdc.gov)
  • A rockburst is a phenomenon where rock or coal is violently ejected into mine openings. (cdc.gov)
  • Longwall mining is the most productive form of underground coal mining. (cdc.gov)
  • A test deployment was conducted at a longwall coal mine in the United States. (cdc.gov)
  • Hearing loss data suggest that by age 50, nearly 90% of coal miners have a hearing impairment. (cdc.gov)
  • Longwall mining concept showing (A) an oblique view of the longwall operating, (B) a close up of the shearer, and (C) a profile view of the overburden. (cdc.gov)
  • To help overcome these challenges, researchers in NIOSH's mining program have developed a new approach to monitor rockbursts occurring near the longwall face using fiber optic cable. (cdc.gov)
  • This industry video by F.T.I Pty Ltd* provides a visual introduction to the longwall mining method. (cdc.gov)
  • Because the monitoring array is physically attached to the mining equipment, it advances with the longwall face. (cdc.gov)
  • Today's Web applications present their content in a dynamic manner, allow users to interact with them at a high level of sophistication, and manage huge amounts of data, leading to a high degree of complexity. (witpress.com)
  • They are required to manage huge amounts of data, execute various complex functions and deliver their content in a variety of forms, according to the user profile or role and according to the media with which the user accesses the application. (witpress.com)
  • The volume of data being produced is increasing at an exponential rate due to our unprecedented capacity to generate, capture and share vast amounts of data. (ijarcs.info)
  • Typically, the choice of the bases is not data-driven with a notable exception to the number of dimensions, that often can be derived by cross- validations. (lu.se)
  • Purpose - The purpose of this paper is to develop a maintenance decision support system (DSS) framework using in-service lubricant data for fault diagnosis. (ac.ke)
  • The basic concept relies upon a collaborative approach that promotes the right of all people to use information system in their mother tongue as advocated by the UNESCO's Information for All Programme (IFAP). (episciences.org)
  • Opinion mining involves building a system to collect and categorize opinions about a tourist place. (ijariie.com)
  • Minetou, CG , Chen, SY & Liu, X 2005, Grouping users' communities in an interactive web-based learning system: A data mining approach . (ncu.edu.tw)
  • MethodsIn this study, a data set was obtained from the intelligent management system repository of 19 hospitals at Shahid Beheshti University of Medical Sciences in Iran. (ac.ir)
  • We have applied the approach to the vertebrate heart and present four case studies of the functionality of the system, focusing on cross-species comparisons, developmental studies, physiological studies and 3D visualisation. (degruyter.com)
  • Most deep hardrock mines have a seismic monitoring system. (cdc.gov)
  • A long line of hydraulic shields holds up the immediate roof, and a conveyor system hauls the resource out of the mine. (cdc.gov)
  • Data Mining Approaches to the 2004-14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua. (bvsalud.org)
  • It is beneficial to outsource data mining tasks if an organization does not have required expertise in-house. (edu.au)
  • In this paper, we present a Bloom filter based solution to enable organizations to outsource their tasks of mining association rules while protecting their business intelligence and customer privacy. (edu.au)
  • An Android based prototype software has been developed by integrating clinical data obtained from patients admitted with IHD. (mraihan.me)
  • In this paper we propose a novel approach aimed at evaluating the adherence of a community partition to the ground truth: our methodology provides more information than the state-of-the-art ones and is fast to compute on large-scale networks. (cnr.it)
  • A Novel Approach Towards Opinion Mining to Structurize Online Reviews for Tourism Using Twitter Data Set. (ijariie.com)
  • We present a novel approach to modelling biological information using ontologies. (degruyter.com)
  • These include reference intervals and biological variation data that would otherwise be difficult to derive directly from children. (medscape.com)
  • All of the above studies require adequate engine design and measurable parameter data, but, under installed condition, few measurable parameters of a certain type of turbo-shaft engine limit the application of methods of aerodynamic thermal modeling and simulation modeling. (hindawi.com)
  • The effective characteristics of the disease have been identified using data mining and its methods. (scirp.org)
  • the second is the need for viable methods for making sense of all these data. (ucpress.edu)
  • Vasquez Osorio E, Aznar M, Green A, Faivre-Finn C, van Herk M, McWilliam A. P1.17-01 Robustness of an image-based data mining approach in lung cancer patients. (openrepository.com)
  • These structures are generally more complex than a schema, especially one designed for data mining. (technewsworld.com)
  • Our approach structures data into columns of bit slices, which range from few to hundreds and are processed vertically i.e. column by column. (easychair.org)
  • Furthermore, mining text may not necessarily compromise data security, considering that the result of data mining may simply be an aggregation - or the rules that govern an inference engine or a neural network - rather than the details of the text itself. (technewsworld.com)
  • The data include demographic information and results of 16 laboratory tests. (ac.ir)
  • T Network was created by the Centers for Disease Control introduction to the types of data that can be derived. (cdc.gov)
  • The desired result of encryption is a large mass of bits that provide no contextual reference for the underlying plaintext, which poses a challenge to text data mining. (technewsworld.com)
  • In this mining method, large panels of material (up to 0.25 miles wide by 2-5 miles long) are extracted using a cutting device that moves up and down the mining face. (cdc.gov)
  • In Chapter IV we test this hypothesis using the FA method and a large panel data set including 17 commodities from March 1991 to August 2012. (lu.se)
  • In this study, we derived outcome-based critical value thresholds for the pediatric population using a large hospital data set from a tertiary pediatric hospital in Australia. (medscape.com)
  • In this work we propose a methodology for mining and evaluating recurrent design solutions in the conceptual schema of Web applications modeled using WebML, a modeling language for designing data-intensive applications. (witpress.com)
  • Investigating the relationship between dialogue structure and tutoring effectiveness: a hidden Markov modeling approach. (educationaldatamining.org)